Send one shared context and one or more independent questions to Jev (TypeSafe System One) and get typed judgments back — not prose.

How to design the call:

• state carries the text and facts; instructions carries the judgment, in the question's own words.

• Every question is answered independently against the same state. Order is not a sequence, and no question can use another's answer. Ask independent questions together in one call, including conditional ones whose answers you may ignore; make a second call only when an answer decides what to fetch or ask next.

• Prefer choice for a category, score for an ordered scale, and noul for a yes/no judgment. Use separate noul questions when several labels can apply at once, since a choice returns exactly one option.

Reading the result: answers come back under answers keyed by question id. Choice and score carry probabilities and confidence; confidence says how concentrated the distribution is, not how likely the answer is to be correct, so calibrate any threshold on your own labeled examples. Noul carries a single probability — near 1 yes, near 0 no, near 0.5 uncertain — and no confidence field.

Ask one question whose answer is exactly one of a set of options you define.

Use for a category, a route, or a selection from a closed list — not for a degree and not for a yes/no. Write the judgment in instructions, and put the boundaries in the option descriptions: what each option covers and excludes. Include an option named "other" or "none" when the list may not cover every input. A choice returns exactly one option, so ask separate noul questions (together in jev_ask) when several labels can apply at once.

Returns the selected option, the full probability distribution, and confidence. Confidence summarises how concentrated the distribution is — it is not the probability that the selection is correct. Compare it against a threshold you calibrated on your own examples, and send anything below it to a person instead of acting on it.

Ask one question whose answer is a position on an ordered scale you define.

Use for degree, severity, or intensity. criteria lists the levels from lowest to highest; a three-level scale returns a score from 0 to 2, and values between integers are positions between levels — the score is the probability-weighted mean of level numbers, not a percentage or a category id. Give every level a self-contained description ("no deadline expressed", "wants a response soon", "explicit deadline"), never a relative one like "more urgent than the level below".

Returns the score, the legend mapping level numbers to their descriptions, the full distribution, and confidence. Two different distributions can produce the same score, so read probabilities when the difference matters — all weight on level 1 and an even split between 0 and 2 both average to 1.

Ask one yes/no question and get its probability.

Use when the condition either holds or does not, and the probability is more useful than a category. Name the condition precisely in instructions; optionally describe the two outcomes in criteria.true and criteria.false, or omit criteria when the instructions already define both.

Returns a value between 0 and 1: near 1 yes, near 0 no, near 0.5 uncertain. It measures probability, not intensity, and there is no separate confidence field — a confident no is near 0, not near 0.5, so read low values as evidence against rather than as low confidence.